| 0 |
| 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 13 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Analyzes unified diffs from staged SVN changes and generates contextually-appropriate commit messages using configurable AI models (OpenAI, Alibaba Qwen, or others). The extension extracts file-level and directory-level diffs, sends them to the configured AI provider via encrypted API keys, and returns auto-generated commit text that the user can accept, edit, or discard before committing. Uses 30-day local caching to reduce redundant API calls for identical diffs.
Unique: Integrates AI commit message generation directly into VS Code's SCM provider interface with configurable multi-provider support (OpenAI, Qwen) and local 30-day diff caching, eliminating the need for external TortoiseSVN GUI or separate commit message tools. Uses VS Code's native secure storage API for encrypted API key management, preventing credential leakage to other extensions.
vs alternatives: Lighter-weight than TortoiseSVN + external AI tools because it runs natively in VS Code without spawning separate processes, and supports multiple AI providers without vendor lock-in, though it lacks the fine-grained prompt customization of dedicated commit message generators like Conventional Commits or Commitizen.
Displays unified diffs between working copy and SVN repository using VS Code's native diff viewer, rendering changes in a left-right side-by-side layout with syntax highlighting and line-by-line annotations. Triggered via right-click context menu on files or the command palette, allowing users to review changes before committing. The diff is generated by invoking native SVN command-line tools (`svn diff`) and piped directly into VS Code's diff renderer without intermediate processing.
Unique: Leverages VS Code's native diff renderer (same engine used for Git diffs) to display SVN changes without custom UI code, ensuring consistency with VS Code's UX patterns and reducing maintenance burden. Integrates directly into the SCM Providers API, making diffs accessible from the Source Control sidebar and command palette without context switching.
vs alternatives: More integrated than TortoiseSVN's diff viewer because it runs inside the IDE and uses VS Code's syntax highlighting engine, but less feature-rich than dedicated diff tools like Beyond Compare because it lacks three-way merge visualization and inline editing.
Provides a unified VS Code extension that works identically on Windows, macOS, and Linux by abstracting platform-specific differences in SVN installation paths, command invocation, and file path handling. The extension detects the host OS and configures SVN tool discovery accordingly (e.g., checking standard installation paths for SlikSVN on Windows, using Homebrew paths on macOS, checking /usr/bin on Linux). File paths are normalized to handle Windows backslashes vs Unix forward slashes.
Unique: Abstracts platform-specific SVN installation and command invocation differences by detecting the host OS and configuring tool discovery accordingly, enabling a single extension codebase to work identically on Windows, macOS, and Linux. This eliminates the need for separate platform-specific extensions or complex user configuration.
vs alternatives: More portable than TortoiseSVN (Windows-only) because it works on all major operating systems, and more user-friendly than command-line SVN because it provides a unified IDE interface across platforms, though it requires users to install SVN separately on each platform.
Displays a sidebar panel in VS Code's Source Control view that shows all files in the working copy with their SVN status (modified, added, deleted, conflicted, etc.). Files are tagged by status type, and users can filter the sidebar display by clicking on tags to show/hide files matching that tag. The sidebar also displays the local SVN version and provides right-click context menu access to file-level operations (commit, diff, revert, etc.).
Unique: Integrates SVN status display into VS Code's native Source Control sidebar using predefined status tags (modified, added, deleted, conflicted) with click-based filtering. This provides a familiar Git-like sidebar experience for SVN users without requiring custom UI panels.
vs alternatives: More integrated than TortoiseSVN's file browser because it lives in the IDE sidebar and uses VS Code's native UI components, but less feature-rich than TortoiseSVN because it lacks hierarchical file organization and real-time updates.
Stores sensitive data (API keys for AI providers, SVN repository credentials) using VS Code's secure storage API, which leverages OS-level encryption: Windows Credential Manager on Windows, Keychain on macOS, and Secret Service on Linux. This prevents credentials from being stored in plaintext in VS Code's settings.json or extension state files, and prevents other extensions from accessing the credentials. The extension encrypts credentials before passing them to VS Code's secure storage and decrypts them when needed for API calls or SVN operations.
Unique: Leverages VS Code's native secure storage API (which uses OS-level encryption: Windows Credential Manager, macOS Keychain, Linux Secret Service) to store credentials, preventing plaintext exposure and cross-extension credential leakage. This is more secure than custom encryption schemes and integrates seamlessly with the OS's native credential management.
vs alternatives: More secure than storing credentials in plaintext settings.json because it uses OS-level encryption, and more integrated than external credential managers (1Password, LastPass) because it uses VS Code's native API without requiring additional tools, though it lacks the advanced features of dedicated credential managers.
Allows users to configure and switch between multiple AI service providers (OpenAI, Alibaba Qwen, and others) via the command palette command `SVN: 配置AI服务`. Each provider requires a user-supplied API key, which is encrypted and stored in VS Code's secure storage API (OS-level encryption on Windows/macOS/Linux). The extension maintains per-provider configuration, enabling users to test different models or switch providers based on cost, latency, or compliance requirements without re-configuring the entire extension.
Unique: Uses VS Code's native secure storage API (which leverages OS-level encryption: Windows Credential Manager, macOS Keychain, Linux Secret Service) to encrypt API keys, preventing other extensions from accessing credentials. Supports multiple concurrent provider configurations, allowing users to switch providers without re-entering keys, and maintains per-provider settings independently.
vs alternatives: More secure than storing API keys in plaintext settings.json because it uses OS-level encryption, and more flexible than single-provider tools like GitHub Copilot because it supports OpenAI, Qwen, and extensible providers, though it lacks the automatic provider selection logic of frameworks like LangChain.
Manages SVN repository credentials at the granularity of individual repository URLs (e.g., `http://svn.company.com/projects/projectA/trunk`), allowing users to store different usernames and passwords for different SVN servers or projects. Credentials are encrypted via VS Code's secure storage API and automatically injected into SVN command invocations when accessing the corresponding repository. Users can configure, update, and clear credentials via command palette commands (`SVN: 管理认证信息`, `SVN: 清除认证信息`).
Unique: Implements per-repository credential isolation by mapping repository URLs to encrypted credentials in VS Code's secure storage, then automatically injecting the correct credentials into SVN CLI invocations based on the target repository URL. This eliminates the need for users to manually enter passwords or configure SVN's built-in credential caching, and prevents credential leakage across repositories.
vs alternatives: More granular than SVN's built-in credential caching (which stores credentials globally) because it isolates credentials per repository URL, and more secure than storing credentials in plaintext `.svn/auth` files because it uses OS-level encryption, though it lacks the advanced features of credential managers like HashiCorp Vault or AWS Secrets Manager.
Initiates SVN checkout operations from a user-specified repository URL and displays real-time progress feedback in the VS Code UI. The extension invokes the native `svn checkout` command, captures stdout/stderr, and streams progress updates to the user. Users can cancel ongoing checkouts via a UI button (⏸️ symbol), which terminates the SVN process. The extension locks related UI operations during checkout to prevent accidental concurrent operations ("界面锁定保护" — interface lock protection).
Unique: Integrates SVN checkout directly into VS Code's workflow by capturing native `svn checkout` output and streaming it to the VS Code output panel, with UI-level locking to prevent concurrent operations. This eliminates the need to switch to the terminal or TortoiseSVN, keeping users in the IDE context.
vs alternatives: More integrated than command-line `svn checkout` because it provides progress visibility and cancellation within the IDE, but less feature-rich than TortoiseSVN because it lacks resume capability and detailed progress estimation.
+5 more capabilities
Generates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
Unique: 1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
vs alternatives: Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
Provides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Unique: Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supermaven scores higher at 71/100 vs VSCode SVN - AI智能版本控制 at 31/100. VSCode SVN - AI智能版本控制 leads on ecosystem, while Supermaven is stronger on adoption and quality.
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vs alternatives: Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
Supermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Unique: Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
vs alternatives: Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
Supermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
Unique: 30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
vs alternatives: Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
Supermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Unique: Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
vs alternatives: Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
Analyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Unique: Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
vs alternatives: Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
Delivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Unique: Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
vs alternatives: Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
Provides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Unique: Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
vs alternatives: Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
+5 more capabilities